Use of available information at a European level to construct crop nitrogen response curves for the regions of the EU
Nowadays European agriculture is evolving in a context where policy-making and environmental concerns play a key role. To better assess agro-environmental policies, the AROPAj agricultural supply model needs to take into account the technical characteristics of crop management for different farms. A method to build up specific relationships between yield and nitrogen fertilization that takes into account agronomic techniques is proposed in this paper. The nitrogen response curve is based on an exponential function that integrates economic properties consistently from an agronomic point of view. In AROPAj, individual production systems (farm types) do not have a given location within a specified region and in databases technical information is scarce. The method involves determining technical and physical characteristics, inputs that allow the STICS crop model to assess the yield response to nitrogen of each crop on every farm type. From this information, a nitrogen response curve can be drawn up for each crop of each one of the farms. It can take into account both nitrogen from purchased fertilizer and nitrogen from animal effluents produced on farm. The method was designed to be adaptable to any European region, and tests carried out on two French regions covering a wide range of situations (crops, soils, climates and techniques) showed it was able to cope with varying prices and environments. The agronomic consistency of STICS inputs and curve shapes was also checked. When incorporated into the AROPAj economic model, the response curves can be used to render farms more sensitive to agricultural policy scenarios, by allowing their optimal fertilization level to be adjusted.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Marsden, James R & Pingry, David E, 1986. "Engineering Production Functions and the Testing of Quantitative Economic Hypotheses," Economica, London School of Economics and Political Science, vol. 53(212), pages 533-34, November.
- Bouman, B. A. M. & van Keulen, H. & van Laar, H. H. & Rabbinge, R., 1996. "The `School of de Wit' crop growth simulation models: A pedigree and historical overview," Agricultural Systems, Elsevier, vol. 52(2-3), pages 171-198.
- Stéphane Cara & Martin Houzé & Pierre-Alain Jayet, 2005. "Methane and Nitrous Oxide Emissions from Agriculture in the EU: A Spatial Assessment of Sources and Abatement Costs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 32(4), pages 551-583, December.
- Donaldson, A. B. & Flichman, G. & Webster, J. P. G., 1995. "Integrating agronomic and economic models for policy analysis at the farm level: The impact of CAP reform in two European regions," Agricultural Systems, Elsevier, vol. 48(2), pages 163-178.
- Llewelyn, Richard V. & Featherstone, Allen M., 1997. "A comparison of crop production functions using simulated data for irrigated corn in western Kansas," Agricultural Systems, Elsevier, vol. 54(4), pages 521-538, August.
- Christopher Ackello-Ogutu & Quirino Paris & William A. Williams, 1985. "Testing a von Liebig Crop Response Function against Polynomial Specifications," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(4), pages 873-880.
- Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
- Arfini, Filippo, 2001. "Mathematical Programming Models Employed In The Analysis Of The Common Agriculture Policy," Working Papers 14803, National Institute of Agricultural Economics, Italy INEA, Osservatorio Sulle Politiche Agricole dell'UE.
- S De Cara & P-A Jayet, 2000. "Emissions of greenhouse gases from agriculture: the heterogeneity of abatement costs in France," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 27(3), pages 281-303, September.
When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:97:y:2008:i:1-2:p:68-82. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Shamier, Wendy)
If references are entirely missing, you can add them using this form.